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REFLECTION OF TWO LAWS OF SPELLING IN THE SPEECH OF UKRAINIAN RESPONDENTS OF THE DIASPORA: NORMS AND DEVIATIONS

2021· article· en· W3199894593 on OpenAlexaboutno aff
M. L. Druzhynets

Bibliographic record

VenueOpera in linguistica ukrainiana · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicLinguistics, Language Diversity, and Identity
Canadian institutionsnot available
Fundersnot available
KeywordsUkrainianPronunciationDiasporaLinguisticsSubject (documents)SerbianPsychologyHistoryPolitical scienceLawComputer science

Abstract

fetched live from OpenAlex

The article is devoted to the oral speech of Ukrainian diaspora’s youth (America, Canada, Italy, the Czech Republic, Poland, Germany, Moldova, the Transnistrian Moldavian Republic) at the synchronous level, in particular the pronunciation features of the Ukrainian language. Based on the poll the normativeness and historical organicity are proved. Also, pronunciation problems and orthoepic deviations are indicated; the percentage of mastery of orthoepy of sound combinations was determined, in particular, the pronunciation of hushing sounds before sibilants and vice versa in a wide local and social representation of foreign countries. Our research aims to try to determine the percentage of orthoepy, to identify, analyze and describe typical pronunciation mistakes, in particular the pronunciation of hushing sounds before sibilants and vice versa in a wide local and social representation abroad. Our task is to analyze the speech of Ukrainian respondents in the diaspora, to indicate the stability and instability of a particular norm; to trace the reflection of the pronunciation of these sound combinations in old written notes, and compare with the speech of Ukrainian respondents in Ukraine. The object of the research is Ukrainian speech of the diaspora of different spheres and age groups. The subject of the research is the mastery of orthoepic norms of the modern Ukrainian language, in particular the orthoepy of sound combinations (hushing sounds before sibilants; sibilants before hushing sounds). The results of a poll are the actual material of the study. It is 100 recordings lasting 300 minutes (5 hours). The poll was attended by 100 people of Ukrainian origin who lives abroad: 10 residents of the United States, 10 residents of Canada, 30 residents of Europe - Poland (2), Germany (3), Italy (5), the Czech Republic (10), Moldova (10) and 50 students of Taras Shevchenko University (Tiraspol, Transnistria). The informants live there for 10 years. They should read aloud and record the words for the analysis of the pronunciation of sibilants before hushing sounds (in the prefixes роз-, без-, з-; in the middle of the word). Thus, the fixation of hushing sounds instead of sibilants is a common phenomenon and can be traced in many monuments of different periods, but the real rate of pronunciation sibilants before hushing sounds by foreign respondents is 26%, by all informants (Ukrainian and foreign together) is 35 %; pronunciation of sibilants before hushing sounds residents of foreign origin of Ukrainian origin is 14% and by all informants in general also 14%. Undoubtedly, we consider these norms to be weak, and if we take into account the gender factor, they are mostly observed by women, both in Ukraine and abroad. In the speech of most men, we trace the pronunciation of the pronunciation [чц '] as [ц'], [шс '] as [с':]. We see the prospect of further research in the study of orthoepic speech deviations of modern youth of the Ukrainian diaspora, in particular in the pronunciation of other sound combinations.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.353
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.040
GPT teacher head0.285
Teacher spread0.245 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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